{"id":"W2911337093","doi":"10.1161/str.50.suppl_1.tp413","title":"Abstract TP413: Prediction of Dysphagia Using the <i>Alberta Stroke Program Early CT Score</i>","year":2019,"lang":"en","type":"article","venue":"Stroke","topic":"Dysphagia Assessment and Management","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dysphagia; Medicine; Stroke (engine); Swallowing; Logistic regression; Insula; Internal medicine; Middle cerebral artery; Cardiology; Radiology; Ischemia","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006558679,0.0006239684,0.0003589674,0.0009883879,0.000280878,0.00094145,0.0004327445,0.0004966474,0.003869534],"category_scores_gemma":[0.003044468,0.0001437728,0.0007656814,0.001070014,0.0002747162,0.0003400782,0.0004935996,0.0007090181,0.0005794168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004900267,"about_ca_system_score_gemma":0.0007792379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0317687,"about_ca_topic_score_gemma":0.02304366,"domain_scores_codex":[0.9996747,0.00008222667,0.00003307434,0.00005858641,0.00009179645,0.00005962638],"domain_scores_gemma":[0.9989815,0.0002214951,0.0003412512,0.00005650066,0.0001946706,0.0002044466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004991724,0.00001809632,0.9955284,0.00001410344,0.0001578746,0.0000609816,0.00000708933,0.000284063,0.0001900085,0.00001530412,0.0003766289,0.00284816],"study_design_scores_gemma":[0.00001298496,0.00007266853,0.9980811,0.000009097337,0.00008306227,0.000158374,0.00001995769,0.001278847,0.0000827967,0.00005220852,0.0001446069,0.000004336644],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943841,0.000467876,0.0004023155,0.0001458963,0.0000296256,0.00002250395,0.002662742,0.00003597142,0.001848949],"genre_scores_gemma":[0.9977519,0.00008330535,0.0001920006,0.00001974299,0.00001524424,0.000007377556,0.001661319,0.000005123401,0.0002640696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0317687,"threshold_uncertainty_score":0.06316757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04278068361774777,"score_gpt":0.3691410691971131,"score_spread":0.3263603855793653,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}